Create app.py

app.py

@@ -0,0 +1,75 @@
+import gradio as gr
+import pandas as pd
+import openai
+import os
+import requests
+from docx import Document
+from tqdm import tqdm
+from google.cloud import vision
+
+# Set up Groq API key (Replace "YOUR_GROQ_API_KEY" with actual API key)
+GROQ_API_KEY = "YOUR_GROQ_API_KEY"
+
+def call_groq_api(prompt):
+    url = "https://api.groq.com/v1/chat/completions"
+    headers = {"Authorization": f"Bearer {GROQ_API_KEY}", "Content-Type": "application/json"}
+    data = {
+        "model": "gpt-4",
+        "messages": [{"role": "system", "content": prompt}]
+    }
+    response = requests.post(url, headers=headers, json=data)
+    return response.json().get("choices", [{}])[0].get("message", {}).get("content", "")
+
+def extract_text_from_word(file_path):
+    doc = Document(file_path)
+    extracted_text = []
+    for para in doc.paragraphs:
+        extracted_text.append(para.text)
+    return extracted_text
+
+def extract_data_from_excel(file_path):
+    df = pd.read_excel(file_path)
+    return df.to_dict(orient="records")
+
+def process_files(word_file, excel_file=None):
+    word_data = extract_text_from_word(word_file.name)
+    excel_data = extract_data_from_excel(excel_file.name) if excel_file else []
+
+    # Merging Word & Excel Data
+    processed_posts = []
+    for i, text in enumerate(word_data):
+        post_data = {
+            "Sr. No.": i + 1,
+            "Text": text
+        }
+        if i < len(excel_data):
+            post_data.update(excel_data[i])
+
+        # Use Groq API for additional AI processing
+        post_data["AI Analysis"] = call_groq_api(f"Analyze this post: {text}")
+
+        processed_posts.append(post_data)
+
+    # Generate Word document output
+    output_doc = Document()
+    for post in processed_posts:
+        output_doc.add_paragraph(f"Sr. No.: {post['Sr. No.']}")
+        output_doc.add_paragraph(f"Text: {post['Text']}")
+        output_doc.add_paragraph(f"AI Analysis: {post['AI Analysis']}")
+        output_doc.add_paragraph("\n----------------------\n")
+
+    output_path = "processed_output.docx"
+    output_doc.save(output_path)
+    return output_path
+
+with gr.Blocks() as app:
+    gr.Markdown("# Social Media Post Analyzer")
+    with gr.Row():
+        word_file = gr.File(label="Upload Word File")
+        excel_file = gr.File(label="Upload Excel File (Optional)")
+    output = gr.File(label="Processed Output")
+
+    process_btn = gr.Button("Process Files")
+    process_btn.click(process_files, inputs=[word_file, excel_file], outputs=[output])
+
+app.launch()