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app.py

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+import os
+from llama_index.llms.llama_api import LlamaAPI
+from dotenv import load_dotenv
+import requests
+import streamlit as st
+
+load_dotenv()
+
+def get_blogcontent_response(topic):
+    llm = LlamaAPI(model="llama-70b-chat",api_key=os.environ["LLAMA_API_Key"])
+    resp = llm.complete(f"use this phrase {topic} identify the top 5 keywords,search queries with rank high on Google search and Extract five keywords from the list in the format of keyword1,keyword2,keyword3,keyword4,keyword5")
+    print(resp.text)
+    #respfinal = llm.complete(f"craft a blog on {inputPromt} get the information from various sources,frame the title,Introduction, using the {resp.text},elaborate on the topic about 500 words,conclusion and website links of sources included as references")
+    respfinal = llm.complete(f"Create a blog post about {topic}. Use transition words. Use active voice. Write over 1000 words. The blog post should be in a beginners guide style. Add title,Introduction and subtitle for each section. It should have a minimum of 6 sections.Include the following keywords: {resp.text}. Create a good slug for this post and a meta description with a maximum of 100 words. and add it to the end of the blog post, add reference website links")
+    # respfinal = llm.complete(f"I want you to become a famous blog writer and craft a blog on {inputPromt} get the information from various sources,frame the title,Introduction, using the {resp.text},elaborate on the topic about 500 words,conclusion and website links of sources included as references")
+    title =  respfinal.text.split('Title:')[1].split('Introduction:')[0]
+    introduction =  respfinal.text.split('Introduction:')[1]
+    # Replace these values with your own
+    title = title
+    content = introduction 
+    response = create_medium_post(title, content,os.environ["Medium_Access_Token"])
+    return response
+
+
+def create_medium_post(title, content, integration_token):
+    userid = os.environ["UserId"]
+    endpoint = f"https://api.medium.com/v1/users/{userid}/posts"
+
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {integration_token}",
+    }
+
+    data = {
+        "title": title,
+        "contentFormat": "markdown",
+        "content": content,
+        "publishStatus": "public",  # Change to "public" when ready to publish
+    }
+
+    try:
+        response = requests.post(endpoint, headers=headers, json=data)
+        response.raise_for_status()
+        print("Post created successfully!")
+    except requests.exceptions.HTTPError as err:
+        print(f"Error creating post: {err}")
+        print(response.text)
+
+    return response.text
+
+st.set_page_config(page_title="Auto Blog Posting")
+st.header("Auto Blog Posting Application")
+input  = st.text_input("Topic: ",key="topic")
+submit = st.button("Enter the topic")
+
+if submit:
+    response = get_blogcontent_response(input)
+    st.write(response)
+
+
+
+

requirements.txt

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+llama-index-program-openai
+llama-index-llms-llama-api
+llama_index
+huggingface_hub
+python-dotenv
+streamlit