initial commit

app.py

@@ -0,0 +1,33 @@
+import gradio as gr
+from rag_pdf import get_response
+import json
+import os
+
+with open(os.path.abspath(os.path.join(os.path.dirname(__file__), "branding.json"))) as f:
+    brand_info = json.load(f)["brand"]
+
+with gr.Blocks(theme="default", title=brand_info["organizationName"]) as app:
+    gr.HTML(f"""<div style="display: flex; justify-content: center; margin-bottom: 20px;">
+            <img src="{brand_info["logo"]["title"]}" alt="{brand_info["organizationName"]} Logo" style="height: 100px;">
+            </div>""")
+    
+    gr.ChatInterface(
+        fn=get_response,
+        chatbot=gr.Chatbot(height=500,
+                           avatar_images=(None, brand_info["chatbot"]["avatar"]),
+                           type="messages"),
+        title=brand_info["organizationName"],
+        description=brand_info["slogan"],
+        type="messages",
+        examples=[
+            ["who is the cto"],
+            ["who is madam Deepti"],
+            ["what are the courses offered by Hereandnowai"],
+        ]
+    )
+
+if __name__ == "__main__":
+    app.launch()
+
+
+

branding.json

@@ -0,0 +1,26 @@
+{
+    "brand":
+    {
+        "organizationName": "HERE AND NOW AI",
+        "website": "https://hereandnowai.com",
+        "email": "info@hereandnowai.com",
+        "mobile": "+91 996 296 1000",
+        "slogan": "designed with passion for innovation",
+        "colors": {"primary": "#FFDF00", "secondary": "#004040"},
+        "logo":
+            {
+                "title": "https://raw.githubusercontent.com/hereandnowai/images/refs/heads/main/logos/logo-of-here-and-now-ai.png",
+                "favicon": "https://raw.githubusercontent.com/hereandnowai/images/refs/heads/main/logos/favicon-logo-with-name.png"}, "chatbot": {"avatar": "https://raw.githubusercontent.com/hereandnowai/images/refs/heads/main/logos/caramel.jpeg", "face": "https://raw.githubusercontent.com/hereandnowai/images/refs/heads/main/logos/caramel-face.jpeg"
+            },
+        
+        "socialMedia":
+            {
+                "blog": "https://hereandnowai.com/blog",
+                "linkedin": "https://www.linkedin.com/company/hereandnowai/",
+                "instagram": "https://instagram.com/hereandnow_ai",
+                "github": "https://github.com/hereandnowai",
+                "x": "https://x.com/hereandnow_ai",
+                "youtube": "https://youtube.com/@hereandnow_ai"
+            }
+    }
+}

rag_pdf.py

@@ -0,0 +1,49 @@
+from openai import OpenAI
+from dotenv import load_dotenv
+import os
+import requests
+import PyPDF2
+
+load_dotenv()
+api_key = os.getenv("GOOGLE_API_KEY")
+model = "gemini-2.5-flash"
+base_url = "https://generativelanguage.googleapis.com/v1beta/openai"
+
+client = OpenAI(base_url=base_url,api_key=api_key)
+url = "https://raw.githubusercontent.com/hereandnowai/rag-workshop/main/pdfs/About_HERE_AND_NOW_AI.pdf"
+response = requests.get(url)
+
+script_dir = os.path.dirname(os.path.abspath(__file__))
+file_name= os.path.join(script_dir,"prospect-hereandnowai.pdf")
+
+with open(file_name, "wb") as f:
+    f.write(response.content)
+
+try:
+    with open(file_name , "rb") as f:
+        reader = PyPDF2.PdfReader(f)
+        pdf_text_chunks = []
+        for page in reader.pages:
+            page_text = page.extract_text()
+            if page_text:
+                pdf_text_chunks.append(page_text.strip())
+        pdf_context = "\n".join(pdf_text_chunks) if pdf_text_chunks else " No text found in pdf"
+        
+except Exception as e:
+    print(f"error no pdf text found {e}")
+    pdf_context = "error no pdf text found"
+
+system_prompt = f"""content from pdf {file_name}:\n {pdf_context}
+                answer the questions based on the context
+                if you cannot find the answer say so. dont give wrong information
+                """
+
+def get_response(usermessage, history):
+    messages = [{"role":"system", "content":system_prompt}]
+    messages.extend(history)
+    messages.append({"role":"user","content":usermessage})
+    response = client.chat.completions.create(model=model,messages=messages)
+    return response.choices[0].message.content
+
+if __name__ == "__main__":
+    print(get_response("who is the CTO",[]))