Upload 3 files

app.py

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+import gradio as gr
+from src.model.vision_model import ChartVisionModel
+import ollama
+
+def analyze_chart(image):
+    client = ollama.Client()
+    
+    system_prompt = """Analyze this technical chart and provide:
+    1. Pattern Recognition (Support/Resistance, Trends)
+    2. Technical Indicators Analysis
+    3. Price Action Analysis
+    4. Volume Analysis
+    5. Future Price Predictions
+    Format the response in clear sections."""
+    
+    response = client.generate(
+        model="llama3.2-vision:latest",
+        prompt=system_prompt,
+        images=[image]
+    )
+    
+    return response
+
+interface = gr.Interface(
+    fn=analyze_chart,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Textbox(label="Analysis Results"),
+    title="Technical Chart Analysis",
+    description="Upload a chart image for comprehensive technical analysis"
+)
+
+interface.launch()

requirements.txt

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+gradio>=4.0.0
+torch>=2.0.0
+transformers>=4.30.0
+python-ollama>=0.1.0
+Pillow>=10.0.0
+huggingface-hub>=0.19.0
+python-dotenv>=1.0.0

src/deploy/update_space.py

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+from huggingface_hub import HfApi, login
+from dotenv import load_dotenv
+import os
+
+def update_space_repo():
+    load_dotenv()
+    api = HfApi()
+    login()  # Will use HF_TOKEN from environment
+    
+    api.upload_folder(
+        folder_path=".",
+        repo_id="tmmdev/chart-analyzer",
+        repo_type="space"
+    )
+    
+    print("✨ Space updated successfully!")
+
+if __name__ == "__main__":
+    update_space_repo()