Upload app.py

app.py

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+ 
+
+
+import streamlit as st
+import os
+from openai import OpenAI
+from dotenv import load_dotenv
+load_dotenv()
+import base64
+
+load_dotenv()
+ 
+def get_together_models():
+    return [
+        "meta-llama/Meta-Llama-3-8B-Instruct-Turbo",
+        "meta-llama/Meta-Llama-3-70B-Instruct-Lite",
+        "meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
+        "google/gemma-2-9b-it",
+        "meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo",
+        "deepseek-ai/deepseek-coder-33b-instruct",
+        "meta-llama/Meta-Llama-3-70B-Instruct-Turbo",
+         "meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo",
+        "meta-llama/Meta-Llama-3-8B-Instruct-Lite",
+        "meta-llama/Meta-Llama-3-70B-Instruct-Lite",
+        "google/gemma-2-27b-it",
+        "allenai/OLMo-7B-Instruct",
+        "zero-one-ai/Yi-34B-Chat",
+        "allenai/OLMo-7B-Twin-2T",
+        "allenai/OLMo-7B",
+        "Austism/chronos-hermes-13b",
+        "cognitivecomputations/dolphin-2.5-mixtral-8x7b",
+        "databricks/dbrx-instruct",
+        
+        "deepseek-ai/deepseek-llm-67b-chat",
+        "garage-bAInd/Platypus2-70B-instruct",
+        "google/gemma-2b-it",
+        "google/gemma-7b-it",
+        "Gryphe/MythoMax-L2-13b",
+        "lmsys/vicuna-13b-v1.5",
+        "lmsys/vicuna-7b-v1.5",
+        "codellama/CodeLlama-13b-Instruct-hf",
+        "codellama/CodeLlama-34b-Instruct-hf",
+        "codellama/CodeLlama-70b-Instruct-hf",
+        "codellama/CodeLlama-7b-Instruct-hf",
+        "meta-llama/Llama-2-70b-chat-hf",
+        "meta-llama/Llama-2-13b-chat-hf",
+        "meta-llama/Llama-2-7b-chat-hf",
+        "meta-llama/Llama-3-8b-chat-hf",
+        "meta-llama/Llama-3-70b-chat-hf",
+        "mistralai/Mistral-7B-Instruct-v0.1",
+        "mistralai/Mistral-7B-Instruct-v0.2",
+        "mistralai/Mistral-7B-Instruct-v0.3",
+        "mistralai/Mixtral-8x7B-Instruct-v0.1",
+        "mistralai/Mixtral-8x22B-Instruct-v0.1",
+        "NousResearch/Nous-Capybara-7B-V1p9",
+        "NousResearch/Nous-Hermes-2-Mistral-7B-DPO",
+        "NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO",
+        "NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT",
+        "NousResearch/Nous-Hermes-llama-2-7b",
+        "NousResearch/Nous-Hermes-Llama2-13b",
+        "NousResearch/Nous-Hermes-2-Yi-34B",
+        "openchat/openchat-3.5-1210",
+        "Open-Orca/Mistral-7B-OpenOrca",
+        "Qwen/Qwen1.5-0.5B-Chat",
+        "Qwen/Qwen1.5-1.8B-Chat",
+        "Qwen/Qwen1.5-4B-Chat",
+        "Qwen/Qwen1.5-7B-Chat",
+        "Qwen/Qwen1.5-14B-Chat",
+        "Qwen/Qwen1.5-32B-Chat",
+        "Qwen/Qwen1.5-72B-Chat",
+        "Qwen/Qwen1.5-110B-Chat",
+        "Qwen/Qwen2-72B-Instruct",
+        "snorkelai/Snorkel-Mistral-PairRM-DPO",
+        "Snowflake/snowflake-arctic-instruct",
+        "togethercomputer/alpaca-7b",
+        "teknium/OpenHermes-2-Mistral-7B",
+        "teknium/OpenHermes-2p5-Mistral-7B",
+        "togethercomputer/Llama-2-7B-32K-Instruct",
+        "togethercomputer/RedPajama-INCITE-Chat-3B-v1",
+        "togethercomputer/RedPajama-INCITE-7B-Chat",
+        "togethercomputer/StripedHyena-Nous-7B",
+        "Undi95/ReMM-SLERP-L2-13B",
+        "Undi95/Toppy-M-7B",
+        "WizardLM/WizardLM-13B-V1.2",
+        "upstage/SOLAR-10.7B-Instruct-v1.0"
+    ]
+
+
+# Function to get Groq chat models
+def get_groq_models():
+    return [
+        # "llama-3.1-405b-reasoning",
+        "llama-3.1-70b-versatile",
+        "mixtral-8x7b-32768",
+        "llama3-groq-70b-8192-tool-use-preview",
+        "llama-3.1-8b-instant",
+        "llama3-groq-8b-8192-tool-use-preview",
+        "llama-guard-3-8b",
+        "llama3-70b-8192",
+        "llama3-8b-8192",
+        "gemma-7b-it",
+        "gemma2-9b-it",
+        "whisper-large-v3"
+    ]
+
+# Function to get OpenAI-like models
+def get_openai_like_models():
+    return [
+        "claude-3-5-sonnet",
+        "gpt-4-turbo-128k-france",
+        "gemini-1.0-pro",
+        "gemini-1.5-pro",
+        "gemini-1.5-flash",
+        "Llama-3-70B-Instruct",
+        "Mixtral-8x7B-Instruct-v0.1",
+        "CodeLlama-2",
+        "jina-embeddings-v2-base-de",
+        "jina-embeddings-v2-base-code",
+        "text-embedding-bge-m3",
+        "llava-v1.6-34b",
+        "llava-v1.6-vicuna-13b",
+        "gpt-35-turbo",
+        "text-embedding-ada-002",
+        "gpt-4-32k-1",
+        "gpt-4-32k-canada",
+        "gpt-4-32k-france",
+        "text-embedding-ada-002-france",
+        "mistral-large-32k-france",
+        "Llama-3.1-405B-Instruct-US",
+        "Mistral-Large-2407",
+        "Mistral-Nemo-2407"
+    ]
+
+
+ 
+def to_leetspeak(text):
+    leet_dict = {
+        'a': '4', 'e': '3', 'g': '6', 'i': '1', 'o': '0', 's': '5', 't': '7',
+        'A': '4', 'E': '3', 'G': '6', 'I': '1', 'O': '0', 'S': '5', 'T': '7'
+    }
+    return ''.join(leet_dict.get(char, char) for char in text)
+
+def to_base64(text):
+    return base64.b64encode(text.encode()).decode()
+
+def to_binary(text):
+    return ' '.join(format(ord(char), '08b') for char in text)
+
+def to_emoji(text):
+    emoji_dict = {
+        'a': '🅰', 'b': '🅱', 'c': '🅲', 'd': '🅳', 'e': '🅴', 'f': '🅵', 'g': '🅶', 'h': '🅷', 'i': '🅸', 'j': '🅹',
+        'k': '🅺', 'l': '🅻', 'm': '🅼', 'n': '🅽', 'o': '🅾', 'p': '🅿', 'q': '🆀', 'r': '🆁', 's': '🆂', 't': '🆃',
+        'u': '🆄', 'v': '🆅', 'w': '🆆', 'x': '🆇', 'y': '🆈', 'z': '🆉',
+        'A': '🅰', 'B': '🅱', 'C': '🅲', 'D': '🅳', 'E': '🅴', 'F': '🅵', 'G': '🅶', 'H': '🅷', 'I': '🅸', 'J': '🅹',
+        'K': '🅺', 'L': '🅻', 'M': '🅼', 'N': '🅽', 'O': '🅾', 'P': '🅿', 'Q': '🆀', 'R': '🆁', 'S': '🆂', 'T': '🆃',
+        'U': '🆄', 'V': '🆅', 'W': '🆆', 'X': '🆇', 'Y': '🆈', 'Z': '🆉'
+    }
+    return ''.join(emoji_dict.get(char, char) for char in text)
+
+# Initialize session state
+if 'messages' not in st.session_state:
+    st.session_state.messages = []
+
+if 'api_key' not in st.session_state:
+    st.session_state.api_key = ""
+
+if 'selected_model' not in st.session_state:
+    st.session_state.selected_model = ""
+
+if 'selected_service' not in st.session_state:
+    st.session_state.selected_service = ""
+
+if 'base_url' not in st.session_state:
+    st.session_state.base_url = ""
+
+# Sidebar
+st.sidebar.title("Chat Settings")
+
+ 
+# Service selection
+service = st.sidebar.radio("Select a service:", ("Together AI","OpenAI-like", "Groq"))
+st.session_state.selected_service = service
+
+# Model selection based on the chosen service
+if service == "OpenAI-like":
+    openai_like_models = get_openai_like_models()
+    selected_model = st.sidebar.selectbox("Select an OpenAI-like model:", openai_like_models)
+    base_url = st.sidebar.text_input("Enter the base URL for the OpenAI-like API:",type="password",value=os.getenv('API_BASE'))
+    api_key = st.sidebar.text_input("Enter your API Key:", type="password",value=os.getenv('API_KEY'))
+    if api_key:
+        st.session_state.api_key = api_key
+    if base_url:
+        st.session_state.base_url = base_url
+
+
+
+elif service == "Groq":
+    groq_models = get_groq_models()
+    api_key = st.sidebar.text_input("Enter your API Key:", type="password",value=os.getenv('GROQ_API_KEY'))
+    if api_key:
+        st.session_state.api_key = api_key
+    selected_model = st.sidebar.selectbox("Select a Groq model:", groq_models)
+    base_url = "https://api.groq.com/openai/v1"
+else:  # OpenAI-like
+    together_models = get_together_models()
+    api_key = st.sidebar.text_input("Enter your API Key:", type="password",value=os.getenv('TOGETHER_API_KEY'))
+    if api_key:
+        st.session_state.api_key = api_key
+    selected_model = st.sidebar.selectbox("Select a Together AI model:", together_models)
+    base_url = "https://api.together.xyz/v1"
+
+if selected_model:
+    st.session_state.selected_model = selected_model
+
+# Main chat interface
+st.title("AI Chat Application")
+
+# Display chat messages
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+# User input
+if prompt := st.chat_input("You:"):
+    if not st.session_state.api_key:
+        st.error("Please enter an API key.")
+    elif not st.session_state.selected_model:
+        st.error("Please select a model.")
+    elif service == "OpenAI-like" and not st.session_state.base_url:
+        st.error("Please enter the base URL for the OpenAI-like API.")
+    else:
+        # Add user message to chat history
+        st.session_state.messages.append({"role": "user", "content": prompt})
+        with st.chat_message("user"):
+            st.markdown(prompt)
+
+        # Generate AI response
+        with st.chat_message("assistant"):
+            message_placeholder = st.empty()
+            full_response = ""
+            
+            try:
+                if service == "OpenAI-like":
+                    client = OpenAI(
+                        api_key=st.session_state.api_key,
+                        base_url=st.session_state.base_url + '/v2',
+                    )
+                else:
+                    client = OpenAI(api_key=st.session_state.api_key, base_url=base_url)
+                
+                for response in client.chat.completions.create(
+                    model=st.session_state.selected_model,
+                    messages=[
+                        {"role": m["role"], "content": m["content"]}
+                        for m in st.session_state.messages
+                    ],
+                    stream=True,
+                    max_tokens=1000,
+                    temperature=0.7
+                ):
+                    full_response += (response.choices[0].delta.content or "")
+                    message_placeholder.markdown(full_response + "▌")
+                
+                message_placeholder.markdown(full_response)
+            except Exception as e:
+                st.error(f"An error occurred: {str(e)}")
+                full_response = "I apologize, but an error occurred while generating the response."
+            
+            # Add assistant response to chat history
+            st.session_state.messages.append({"role": "assistant", "content": full_response})
+
+# Clear chat button
+if st.sidebar.button("Clear Chat"):
+    st.session_state.messages = []
+
+    st.rerun()
+
+ 
+with st.sidebar:
+    st.title("Text Conversion")
+    input_text = st.text_area("Enter text to convert:")
+
+    col1, col2 = st.columns(2)
+
+    with col1:
+        if st.button("To Leetspeak"):
+            if input_text:
+                converted_text = to_leetspeak(input_text)
+                st.text_area("Leetspeak Result:", converted_text, height=100)
+                st.code(converted_text, language="text")
+
+        if st.button("To Base64"):
+            if input_text:
+                converted_text = to_base64(input_text)
+                st.text_area("Base64 Result:", converted_text, height=100)
+                st.code(converted_text, language="text")
+
+    with col2:
+        if st.button("To Binary"):
+            if input_text:
+                converted_text = to_binary(input_text)
+                st.text_area("Binary Result:", converted_text, height=100)
+                st.code(converted_text, language="text")
+
+        if st.button("To Emoji"):
+            if input_text:
+                converted_text = to_emoji(input_text)
+                st.text_area("Emoji Result:", converted_text, height=100)
+                st.code(converted_text, language="text")
+
+