Create app.py

app.py

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+import gradio as gr
+import openai
+
+# Set up your OpenAI API credentials
+openai.api_key = ""
+
+# Define the function to search for quotes
+def search_quotes(query):
+    response = openai.Completion.create(
+        engine="text-davinci-003",
+        prompt=f"Search for quotes based on: {query}",
+        max_tokens=100,
+        n=5,
+        stop=None,
+        temperature=0.5,
+    )
+    quotes = response.choices[0].text.strip().split("\n")
+    return quotes
+
+# Define the function to search for authors
+def search_author(author):
+    # Code to search for author information and generate a picture
+    author_info = f"Author: {author}\nBio: Lorem ipsum dolor sit amet, consectetur adipiscing elit."
+    return author_info
+
+# Define the Gradio interface
+def gradio_interface(query):
+    if query.startswith("author:"):
+        author = query[7:].strip()
+        author_info = search_author(author)
+        return author_info
+    elif query.startswith("tag:"):
+        tag = query[4:].strip()
+        quotes = search_quotes(tag)
+        return quotes
+    else:
+        quotes = search_quotes(query)
+        return quotes
+
+# Create the Gradio app
+inputs = gr.inputs.Textbox(label="Chat with me!")
+outputs = gr.outputs.Textbox()
+
+gr.Interface(
+    fn=gradio_interface,
+    inputs=inputs,
+    outputs=outputs,
+    layout="vertical",
+    theme="compact",
+).launch()