Update app.py

app.py

@@ -18,7 +18,7 @@ pipe = pipeline(
     model=model_name,
     tokenizer=model_name,
     max_new_tokens=600,
-    temperature=0.6,
+    temperature=0.0,
     do_sample=False,
     num_beams=6,
     repetition_penalty=1.5,
@@ -30,27 +30,11 @@ pipe = pipeline(
 prompt_template = """
 You are a financial market analyst.
 Before making a prediction, you must analyze the past, provided in the Context below.
-
 Your goal is to identify similar historical situations and use them to infer what may happen next.
 Your analysis must be comprehensive, covering macroeconomic, sectoral, and corporate-specific factors.
-
-When analyzing the Context, consider:
-Macroeconomic indicators: interest rate trends, inflation, GDP growth, employment data, central bank policy, commodity prices, and currency movements.
-Geopolitical factors: wars, sanctions, trade tensions, energy crises, and political instability.
-Sector performance: sector rotations, capital inflows/outflows, relative strength of industries.
-Corporate-level factors:
-Cross-shareholdings, mergers & acquisitions, and strategic investments between companies.
-Earnings reports, profit warnings, and guidance revisions.
-Dividend policies, share buybacks, and debt restructuring.
-Insider trading, institutional buying/selling, and large fund movements.
-Technological innovation, regulation changes, and supply chain disruptions.
-
-Historical Approach:
-Identify past periods that closely resemble the current environment (e.g., "high inflation + geopolitical conflict" or "rate hikes + tech earnings slump").
+You should identify past periods that closely resemble the current environment (e.g., "high inflation + geopolitical conflict" or "rate hikes + tech earnings slump").
 Base your reasoning on actual market reactions from those periods — specify which companies or sectors moved and how.
-
 If multiple scenarios are possible, explain each one and why the market may react differently under varying conditions.
-
 Explicitly name the historical reference period(s) used (e.g., "2008 financial crisis," "2020 pandemic crash and recovery," etc.).
 
 Response Format: