Merge branch 'main' of https://huggingface.co/spaces/sikeaditya/crop_market_analysis

Dockerfile

@@ -1,36 +1,19 @@
 FROM python:3.9-slim
 
+# Set the working directory
 WORKDIR /app
 
-# Create structure first
-RUN mkdir -p /app/static/audio
-RUN mkdir -p /app/templates
+# Create and set permissions for the audio directory in the correct path (/app/static/audio)
+RUN mkdir -p /app/static/audio && chmod 777 /app/static/audio
 
-# Set permissions
-RUN chmod -R 777 /app/static
+# Copy application files
+COPY . /app
 
-# Install system dependencies
-RUN apt-get update && \
-    apt-get install -y --no-install-recommends \
-    espeak \
-    libespeak1 \
-    && rm -rf /var/lib/apt/lists/*
-
-# Copy files
-COPY requirements.txt .
-COPY app.py .
-COPY final_price_data.csv .
-COPY static /app/static/
-COPY templates /app/templates/
-
-# Install Python dependencies
+# Install dependencies
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Make sure the port is exposed
+# Expose the port your app runs on
 EXPOSE 7860
 
-# Set environment variable to tell Flask what to run
-ENV FLASK_APP=app.py
-
-# Using gunicorn as the WSGI server can be more reliable
-CMD ["python", "-m", "flask", "run", "--host=0.0.0.0", "--port=7860"]
+# Command to run the application
+CMD ["gunicorn", "-w", "4", "-b", "0.0.0.0:7860", "app:app"]

app.py

@@ -29,7 +29,7 @@ def fetch_market_data(state=None, district=None, market=None, commodity=None):
     Filters (state, district, market, commodity) are applied manually on CSV data.
     """
     api_key = "579b464db66ec23bdd000001189bbb99e979428764bdbe8fdd44ebb7"
-    base_url = "1https://api.data.gov.in/resource/9ef84268-d588-465a-a308-a864a43d007"
+    base_url = "https://api.data.gov.in/resource/9ef84268-d588-465a-a308-a864a43d007"
     
     params = {
         "api-key": api_key,
@@ -549,4 +549,4 @@ def serve_audio(filename):
 
 if __name__ == '__main__':
     pio.templates.default = "plotly_white"
-    app.run(debug=True, host='0.0.0.0', port=7860)
+    app.run(app=app1,debug=True, host='0.0.0.0', port=7860)