initial commit

app.py

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+import gradio as gr
+import fitz  
+import easyocr  
+from huggingface_hub import InferenceClient
+
+HUGGINGFACE_API_KEY = "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"
+
+# Initialize the Hugging Face Inference Client
+client = InferenceClient(
+    provider="together",  # Specify provider
+    api_key=HUGGINGFACE_API_KEY
+)
+
+# Initialize EasyOCR
+reader = easyocr.Reader(['en'])
+
+def extract_text_from_pdf(pdf_file):
+    """Extracts text from the uploaded PDF file."""
+    text = ""
+    with fitz.open(pdf_file.name) as doc:
+        for page in doc:
+            text += page.get_text() + "\n"
+    return text.strip()
+
+def extract_text_from_image(image_file):
+    """Extracts text from an uploaded image file using EasyOCR."""
+    text = reader.readtext(image_file.name, detail=0)
+    return "\n".join(text).strip()
+
+def analyze_medical_report(file):
+    """Determines file type (PDF or Image) and extracts text accordingly."""
+    if file.name.lower().endswith(".pdf"):
+        text = extract_text_from_pdf(file)
+    else:
+        text = extract_text_from_image(file)
+    
+    if not text:
+        return "No text found in the uploaded document."
+
+    # Construct message for DeepSeek AI
+    messages = [
+        {"role": "user", "content": f"Analyze the following medical report and identify any health concerns:\n\n{text}"}
+    ]
+
+    try:
+        # Send request to Hugging Face Inference API
+        completion = client.chat.completions.create(
+            model="deepseek-ai/DeepSeek-R1", 
+            messages=messages, 
+            max_tokens=500,
+        )
+
+        # Extract response
+        return completion.choices[0].message.content if completion.choices else "No response generated."
+    
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Gradio Interface
+interface = gr.Interface(
+    fn=analyze_medical_report,
+    inputs=gr.File(type="filepath", label="Upload Medical Report (PDF/Image)"),
+    outputs=gr.Textbox(label="AI Analysis"),
+    title="AI-Powered Medical Report Analyzer",
+    description="Upload your medical report (PDF or Image), and the AI will analyze it to identify potential issues."
+)
+
+if __name__ == "__main__":
+    interface.launch()

requirements.txt

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+gradio
+requests
+pymupdf
+easyocr
+torch
+transformers