Spaces:
Runtime error
Runtime error
Commit
•
0f64b20
1
Parent(s):
709dce9
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,5 +1,7 @@
|
|
| 1 |
import streamlit as st
|
| 2 |
import openai
|
|
|
|
|
|
|
| 3 |
|
| 4 |
# Access the OpenAI API key from Hugging Face Spaces secrets
|
| 5 |
openai.api_key = st.secrets["OPENAI_API_KEY"]
|
|
@@ -14,7 +16,7 @@ target_audience = st.text_area("Describe Your Target Audience", placeholder="e.g
|
|
| 14 |
st.subheader("Current Marketing Efforts")
|
| 15 |
current_marketing = st.text_area("Current Marketing Strategies", placeholder="Describe your ongoing marketing activities.")
|
| 16 |
|
| 17 |
-
# Test data button
|
| 18 |
if st.button('Load Test Data'):
|
| 19 |
st.session_state['business_type'] = "Real Estate Agency"
|
| 20 |
st.session_state['target_audience'] = "Families and individuals looking to buy homes in suburban areas, focusing on first-time homebuyers and those seeking to upgrade to larger properties."
|
|
@@ -28,13 +30,10 @@ current_marketing = st.text_area("Current Marketing Strategies", value=st.sessio
|
|
| 28 |
if st.button('Generate My Video Marketing Plan'):
|
| 29 |
# Construct the prompt for text generation
|
| 30 |
prompt_text = (
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
f"focusing on reaching the ideal audience, based on current marketing efforts: {current_marketing}."
|
| 36 |
-
)
|
| 37 |
-
|
| 38 |
|
| 39 |
# Call the OpenAI API for text generation
|
| 40 |
try:
|
|
@@ -52,3 +51,15 @@ if st.button('Generate My Video Marketing Plan'):
|
|
| 52 |
# Display the marketing plan
|
| 53 |
st.markdown("### Your Customized Video Marketing Plan")
|
| 54 |
st.write(marketing_plan)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
import streamlit as st
|
| 2 |
import openai
|
| 3 |
+
import pdfkit
|
| 4 |
+
import os
|
| 5 |
|
| 6 |
# Access the OpenAI API key from Hugging Face Spaces secrets
|
| 7 |
openai.api_key = st.secrets["OPENAI_API_KEY"]
|
|
|
|
| 16 |
st.subheader("Current Marketing Efforts")
|
| 17 |
current_marketing = st.text_area("Current Marketing Strategies", placeholder="Describe your ongoing marketing activities.")
|
| 18 |
|
| 19 |
+
# Test data button for ease of testing
|
| 20 |
if st.button('Load Test Data'):
|
| 21 |
st.session_state['business_type'] = "Real Estate Agency"
|
| 22 |
st.session_state['target_audience'] = "Families and individuals looking to buy homes in suburban areas, focusing on first-time homebuyers and those seeking to upgrade to larger properties."
|
|
|
|
| 30 |
if st.button('Generate My Video Marketing Plan'):
|
| 31 |
# Construct the prompt for text generation
|
| 32 |
prompt_text = (
|
| 33 |
+
f"Generate a 2024 video marketing plan for a {business_type} targeting an audience characterized as: {target_audience}. "
|
| 34 |
+
f"Include up to four video ideas for each month and 10 specific distribution strategies to maximize video views, "
|
| 35 |
+
f"based on current marketing efforts: {current_marketing}."
|
| 36 |
+
)
|
|
|
|
|
|
|
|
|
|
| 37 |
|
| 38 |
# Call the OpenAI API for text generation
|
| 39 |
try:
|
|
|
|
| 51 |
# Display the marketing plan
|
| 52 |
st.markdown("### Your Customized Video Marketing Plan")
|
| 53 |
st.write(marketing_plan)
|
| 54 |
+
|
| 55 |
+
# Convert the marketing plan to a PDF and provide a download button
|
| 56 |
+
if marketing_plan:
|
| 57 |
+
html = f"<html><body><h2>Your Customized Video Marketing Plan</h2><p>{marketing_plan.replace('\n', '<br>')}</p></body></html>"
|
| 58 |
+
pdf = pdfkit.from_string(html, False)
|
| 59 |
+
|
| 60 |
+
st.download_button(
|
| 61 |
+
label="Download your plan as PDF",
|
| 62 |
+
data=pdf,
|
| 63 |
+
file_name="video_marketing_plan.pdf",
|
| 64 |
+
mime="application/octet-stream"
|
| 65 |
+
)
|